Mapping of prostate cancer microvascular patterns using super-resolution ultrasound imaging.

ABSTRACT:

Background

Super-resolution ultrasound imaging (SRUI) is a rapidly expanding field with the potential to impact cancer management. Image processing algorithms applied to contrast-enhanced ultrasound (CEUS) video data can track the path of the contrast agent and produce high-resolution maps of vascular networks. Our aim was to develop SRUI for mapping prostate vascular dynamics and to assess the feasibility of identifying vascular patterns associated with prostate cancer.

Methods

Tracking algorithms for SRUI were developed using in silico data and validated in pre-clinical CEUS video collected from the sheep ovary. Algorithm performance was then assessed in a retrospective study of 54 image planes within 14 human prostates. CEUS data was collected for each plane, and regions

SUBMITTER: Butler MB 

PROVIDER: S-EPMC11842657 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature